Predicting Mumbai's Air Quality Index by Machine Learning

Abstract

The purity of air plays a major role on mortal health of people. Poor quality of air leads to many forms of diseases, most probably in the kids. Looking at the vulnerability of air quality standards the government further decides to take important acts for prevention of such diseases. Ancient ways of tackling diseases have a short range of success due to no access to huge sets of data. For this project , we have considered using machine’s algorithm to augur Air quality pointer for megacity Mumbai. Our created model can analyze closer to 93percent of aqi(air quality index), it further also predicts many oxides of carbon,nitrogen,sulfur and oxygen. Therefore,we as a country feel the need to have a machine to read the pollution levels for us to maintain the environment and to start taking respective precautions needed. In numerous artificial and civic regions at the moment,balancing the air index for human health is the biggest task right now. The burning of fossil energies, business patterns, and artificial variables all have a big impact on air pollution. We need to apply models that will record information regarding the attention of air pollutants because of the rising pollutant situations. The quality of people's lives is being impacted by the buildup of these dangerous chemicals in the air, particularly in metropolitan areas. Several lab tests have lately started using the Big Data Analytics fashion as per rise of pollutants in air.